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» Dominant Sets and Hierarchical Clustering
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ISCC
2006
IEEE
129views Communications» more  ISCC 2006»
14 years 1 months ago
FACT: A New Fuzzy Adaptive Clustering Technique
Clustering belongs to the set of mathematical problems which aim at classification of data or objects into related sets or classes. Many different pattern clustering approaches bas...
Faezeh Ensan, Mohammad Hossien Yaghmaee, Ebrahim B...
FGR
2004
IEEE
133views Biometrics» more  FGR 2004»
13 years 11 months ago
Finding Temporal Patterns by Data Decomposition
We present a new unsupervised learning technique for the discovery of temporal clusters in large data sets. Our method performs hierarchical decomposition of the data to find stru...
David C. Minnen, Christopher Richard Wren
DATE
2005
IEEE
122views Hardware» more  DATE 2005»
14 years 1 months ago
Diagnostic and Detection Fault Collapsing for Multiple Output Circuits
We discuss fault equivalence and dominance relations for multiple output combinational circuits. The conventional definition for equivalence says that “Two faults are equivalen...
Raja K. K. R. Sandireddy, Vishwani D. Agrawal
BIBE
2003
IEEE
116views Bioinformatics» more  BIBE 2003»
14 years 1 months ago
An Assessment of a Metric Space Database Index to Support Sequence Homology
Hierarchical metric-space clustering methods have been commonly used to organize proteomes into taxonomies. Consequently, it is often anticipated that hierarchical clustering can ...
Rui Mao, Weijia Xu, Neha Singh, Daniel P. Miranker
SSDBM
2005
IEEE
218views Database» more  SSDBM 2005»
14 years 1 months ago
The "Best K" for Entropy-based Categorical Data Clustering
With the growing demand on cluster analysis for categorical data, a handful of categorical clustering algorithms have been developed. Surprisingly, to our knowledge, none has sati...
Keke Chen, Ling Liu